Triple

T28758760

Position	Surface form	Disambiguated ID	Type / Status
Subject	Frederica Vernon	`E731746`	entity
Predicate	opposedMarriageTo	`P138079`	FINISHED
Object	Sir James Martin Sir James Martin is a wealthy but foolish and comically obtuse suitor in Jane Austen’s novel "Lady Susan."	`E1833633`	NE FINISHED

How this triple was built (3 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini

Instruction

Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).

Input

Phrase: Sir James Martin | Statement: [Frederica Vernon, opposedMarriageTo, Sir James Martin]

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: Sir James Martin
Triple: [Frederica Vernon, opposedMarriageTo, Sir James Martin]

Generated description

Sir James Martin is a wealthy but foolish and comically obtuse suitor in Jane Austen’s novel "Lady Susan."

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: opposedMarriageTo
Context triple: [Frederica Vernon, opposedMarriageTo, Sir James Martin]

A. refusedRemarriageTo
Indicates that one entity declined or rejected entering into a subsequent marriage with another entity.
B. failsToMarry
Indicates that an expected or attempted marriage between entities does not successfully occur.
C. preventedMarriageBy chosen
Indicates that one entity took actions or imposed conditions that stopped or blocked another entity’s intended or potential marriage from occurring.
D. supportsMarriageBetween
Indicates that one entity endorses or is in favor of a marital union between the specified parties.
E. rivalForMarriageOf
Indicates that one entity is a romantic competitor with another entity for the opportunity to marry a specific third entity.
F. None of above.

Provenance (6 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step	Stage	Batch ID	Status	When
creating	Elicitation	`batch_69f043ed68a881909e858a06bab7a247`	completed	April 28, 2026, 5:21 a.m.
NER	Named-entity recognition	`batch_69f71422adac8190a5ceb32dcf820833`	completed	May 3, 2026, 9:23 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a24a258aedc8190a186e66ec1ab96ce`	completed	June 6, 2026, 10:42 p.m.
NEDg	Description generation	`batch_6a24a667d6d08190917858826b13e134`	completed	June 6, 2026, 10:59 p.m.
NED2	Entity disambiguation (via description)	`batch_6a24aaa014a081908831ccb241673fae`	completed	June 6, 2026, 11:17 p.m.
PD	Predicate disambiguation	`batch_69f712764d2c819081b64b27e5de4a13`	completed	May 3, 2026, 9:16 a.m.

Created at: April 28, 2026, 6:10 a.m.